Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

A Deep Learning Approach to Explore the Mutual Coupling Effects in Metasurfaces

Not Accessible

Your library or personal account may give you access

Abstract

We propose a deep learning approach that predicts the performance of meta-atoms placed among different neighbors. It provides a fast way to explore the impact of mutual coupling to metasurfaces’ performance and conduct further optimizations.

© 2021 The Author(s)

PDF Article  |   Presentation Video
More Like This
Deep-learning designed fabrication-friendly metasurfaces

Akira Ueno, Hung-I Lin, Fan Yang, Sensong An, Louis Martin-Monier, Mikhail Y. Shalanginov, Tian Gu, and Juejun Hu
FTu1E.3 Frontiers in Optics (FiO) 2023

Deep learning to accelerate Maxwell’s equations for inverse design of dielectric metasurfaces

Maksym V. Zhelyeznyakov, Steven L. Brunton, and Arka Majumdar
JTh3A.104 CLEO: Applications and Technology (CLEO:A&T) 2021

Correcting visibility artefacts in Photoacoustic Imaging with a deep learning approach

Guillaume Godefroy, Bastien Arnal, and Emmanuel Bossy
ES2C.5 European Conference on Biomedical Optics (ECBO) 2021

Poster Presentation

Media 1: PDF (2582 KB)     

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads


More Like This
Deep-learning designed fabrication-friendly metasurfaces

Akira Ueno, Hung-I Lin, Fan Yang, Sensong An, Louis Martin-Monier, Mikhail Y. Shalanginov, Tian Gu, and Juejun Hu
FTu1E.3 Frontiers in Optics (FiO) 2023

Deep learning to accelerate Maxwell’s equations for inverse design of dielectric metasurfaces

Maksym V. Zhelyeznyakov, Steven L. Brunton, and Arka Majumdar
JTh3A.104 CLEO: Applications and Technology (CLEO:A&T) 2021

Correcting visibility artefacts in Photoacoustic Imaging with a deep learning approach

Guillaume Godefroy, Bastien Arnal, and Emmanuel Bossy
ES2C.5 European Conference on Biomedical Optics (ECBO) 2021

All-dielectric Metasurface Designs Enabled by Deep Neural Networks

Sensong An, Clayton Fowler, Bowen Zheng, Mikhail Y. Shalaginov, Hong Tang, Hang Li, Jun Ding, Myungkoo Kang, Anuradha Murthy Agarwal, Clara Rivero-Baleine, Kathleen A. Richardson, Tian Gu, Juejun Hu, and Hualiang Zhang
FW4B.8 CLEO: QELS_Fundamental Science (CLEO:FS) 2020

Deep Learning for Engineering Optical Scattering from Plasmonic Nanostructures

Joshua Baxter, Julien Desautels, Antonio Calà Lesina, Pierre Berini, and Lora Ramunno
JW2D.4 Flat Optics: Components to Systems (FLATOPTICS) 2021

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.